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Semantic Knowledge Representation in Terrorist Threat Analysis for Crisis Management Systems

  • Mariusz Chmielewski
  • Andrzej Gałka
  • Piotr Jarema
  • Kamil Krasowski
  • Artur Kosiński
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5796)

Abstract

In recent years problem of identifying terrorist threat has become a priority topic for government and military organizations. We base our ideas on new concepts of indirect association analysis to extract useful information for terrorist threat indication. Method introduces original approach to knowledge representation as a set of ontologies and semantic network, which are then processed by the inference algorithms and structure graph analysis. Described models consist of experience gathered from intelligence experts and several open Internet knowledge systems such as Global Terrorism Database, Profiles in Terror knowledge base. We managed to extract core information from several ontologies and fuse them into one domain model aimed to provide basis for indirect associations identification method.

Keywords

counter-terrorism decision support ontology GIS crisis management GTD 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Mariusz Chmielewski
    • 1
  • Andrzej Gałka
    • 1
  • Piotr Jarema
    • 1
  • Kamil Krasowski
    • 1
  • Artur Kosiński
    • 1
  1. 1.Computer Science Department, Cybernetics FacultyMilitary University of TechnologyWarsawPoland

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